Data Product Manager Fulltime
Data Product Manager Fulltime
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1 Vacancy
Job Description
Job Title: Lead Data Product Manager
Location: Onsite New York NY
Start Date: Mid-November
Experience: 8 Years
Overview:
We are seeking a highly motivated Lead Data Product Manager (Data Product Owner) with a strong blend of business acumen data/product management expertise and a passion for the fan engagement direct-to-consumer (DTC) and sports industry. This role will serve as the key bridge between business stakeholders and technical teams translating analytics and data needs into actionable tasks and ensuring seamless delivery. The ideal candidate will bring both strategic vision and hands-on experience in managing end-to-end data product lifecycles.
Key Responsibilities
- Define and own the data product vision and roadmap aligning with business goals and stakeholder priorities across clubs partners and internal teams.
- Act as the primary liaison between business and technical stakeholders to capture refine and translate data and analytics requirements into actionable deliverables.
- Leverage deep understanding of fan engagement DTC and sports business models to prioritize features and initiatives that maximize business value.
- Partner closely with Business Analysts (BAs) Data Analysts (DAs) and Data Engineers to manage backlog grooming user stories and sprint execution.
- Lead the end-to-end data product lifecycle-from requirement gathering development coordination and testing through delivery and performance measurement.
- Ensure data quality integrity and governance standards are embedded throughout product design and delivery.
Qualifications
- Bachelors degree in Business Data Science Computer Science or a related field.
- 8 years of proven experience as a Product Owner or Data Product Manager preferably focused on data platforms analytics or data products.
- Strong business acumen with deep knowledge of fan engagement direct-to-consumer (DTC) or sports industry dynamics.
- Demonstrated ability to translate complex business and analytical requirements into technical deliverables and user stories.
- Experience partnering with BAs DAs and Data Engineers to define and execute data profiling ETL and reporting workflows.
- Solid understanding of data engineering ETL pipelines analytics platforms and data lifecycle management.
- Strong stakeholder management communication and presentation skills-able to interact effectively with both technical and non-technical teams.
- Familiarity with data governance data quality frameworks and compliance standards (GDPR CCPA etc.).
- Technical familiarity with SQL ETL tools and cloud data platforms (e.g. AWS Azure GCP Snowflake) is a strong plus.
Employment Type
Full Time
